Tong Jin

1.2k total citations
27 papers, 652 citations indexed

About

Tong Jin is a scholar working on Computer Networks and Communications, Information Systems and Management and Electrical and Electronic Engineering. According to data from OpenAlex, Tong Jin has authored 27 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 12 papers in Information Systems and Management and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Tong Jin's work include Advanced Data Storage Technologies (12 papers), Scientific Computing and Data Management (12 papers) and Distributed and Parallel Computing Systems (11 papers). Tong Jin is often cited by papers focused on Advanced Data Storage Technologies (12 papers), Scientific Computing and Data Management (12 papers) and Distributed and Parallel Computing Systems (11 papers). Tong Jin collaborates with scholars based in United States, China and Macao. Tong Jin's co-authors include Wade Trappe, Marco Gruteser, Suhas Mathur, Manish Parashar, Scott Klasky, Fan Zhang, Hemanth Kolla, Jacqueline Chen, Fan Zhang and Hasan Abbasi and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Frontiers in Aging Neuroscience.

In The Last Decade

Tong Jin

27 papers receiving 628 citations

Peers

Tong Jin

CNC

BC

EEE

IS

CSA

Deyu Qi China

Tongqing Zhou China

Júlio Cézar Estrella Brazil

Weiwei Chen China

Suprio Ray Canada

Saleh M. Altowaijri Saudi Arabia

Guoming Tang China

Josep Jorba Spain

Tianyi Song United States

Wei Shu United States

Deyu Qi China

Tong Jin

432 ×1.4

CNC

30 ×0.2

BC

92 ×0.7

EEE

346 ×2.7

IS

111 ×0.9

CSA

Citations per year, relative to Tong Jin Tong Jin (= 1×) peers Deyu Qi

Countries citing papers authored by Tong Jin

Since Specialization

Citations

This map shows the geographic impact of Tong Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Jin more than expected).

Fields of papers citing papers by Tong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tong Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tong Jin. The network helps show where Tong Jin may publish in the future.

Co-authorship network of co-authors of Tong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Jin. A scholar is included among the top collaborators of Tong Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tong Jin. Tong Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Huang, Chiung‐Yu, et al.. (2025). Internet use, physical activity, and cognitive function in Chinese older adults: a cross-lagged panel analysis. Frontiers in Aging Neuroscience. 17. 1579874–1579874. 2 indexed citations

2.

Zhang, Yun, Tong Jin, Zijie Zhao, et al.. (2024). A low-voltage-driven MEMS ultrasonic phased-array transducer for fast 3D volumetric imaging. Microsystems & Nanoengineering. 10(1). 8 indexed citations

3.

Zhao, Qinglin, et al.. (2023). Contention With Collision Detection in Wireless Full-Duplex Networks. IEEE Internet of Things Journal. 11(6). 10398–10410. 1 indexed citations

4.

Jin, Tong, et al.. (2023). Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting. Biomimetics. 8(3). 312–312. 9 indexed citations

5.

Lǚ, Jianbo, et al.. (2023). Improved MobileNetV2 crop disease identification model for intelligent agriculture. PeerJ Computer Science. 9. e1595–e1595. 6 indexed citations

6.

Jin, Tong, et al.. (2022). Performance Analysis of Synchronous Multilink MAC Protocol with Automatic Repeat Request. Mobile Information Systems. 2022. 1–11. 4 indexed citations

7.

Ya, Xiao, et al.. (2022). Application of Deep Learning to Production Forecasting in Intelligent Agricultural Product Supply Chain. Computers, materials & continua/Computers, materials & continua (Print). 74(3). 6145–6159. 6 indexed citations

8.

Jiang, Fei, et al.. (2022). A new form of deep learning in smart logistics with IoT environment. The Journal of Supercomputing. 78(9). 11873–11894. 8 indexed citations

9.

Zhao, Qinglin, et al.. (2021). A Novel Successive-Interference-Cancellation- Aware Design for Wireless Networks Using Software-Defined Networking. IEEE Access. 9. 124861–124872. 2 indexed citations

10.

Feng, Li, et al.. (2020). Enabling Sector Scheduling for 5G-CPE Dense Networks. Security and Communication Networks. 2020. 1–18. 6 indexed citations

11.

Jin, Tong, et al.. (2020). Towards autonomic data management for staging-based coupled scientific workflows. Journal of Parallel and Distributed Computing. 146. 35–51. 11 indexed citations

12.

Zhang, Fan, et al.. (2017). In‐memory staging and data‐centric task placement for coupled scientific simulation workflows. Concurrency and Computation Practice and Experience. 29(12). 7 indexed citations

13.

Zhang, Fan, Tong Jin, Qian Sun, et al.. (2016). Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. 37–44. 7 indexed citations

14.

Sun, Qian, Tong Jin, Hongfeng Yu, et al.. (2016). In-staging data placement for asynchronous coupling of task-based scientific workflows. 2–9. 1 indexed citations

15.

Sun, Qian, Tong Jin, Fan Zhang, et al.. (2015). Adaptive data placement for staging-based coupled scientific workflows. 1–12. 18 indexed citations

16.

Jin, Tong, Fan Zhang, Qian Sun, et al.. (2015). Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. 20 indexed citations

17.

Zhang, Fan, et al.. (2014). In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows. Cluster Computing. 18(1). 29–40. 5 indexed citations

18.

Liu, Fang, et al.. (2012). NIST Cloud Computing Reference Architecture: Recommendations of the National Institute of Standards and Technology (Special Publication 500-292). 24 indexed citations

19.

Liu, Fang, et al.. (2012). NIST Cloud Computing Reference Architecture: Recommendations of the National Institute of Standards and Technology. 34 indexed citations

20.

Jin, Tong, Fan Zhang, Manish Parashar, et al.. (2012). A scalable messaging system for accelerating discovery from large scale scientific simulations. 1–10. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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